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---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
datasets:
- nusatranslation_mt
metrics:
- sacrebleu
model-index:
- name: ind-to-bbc-nmt-v8
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: nusatranslation_mt
type: nusatranslation_mt
config: nusatranslation_mt_btk_ind_source
split: test
args: nusatranslation_mt_btk_ind_source
metrics:
- name: Sacrebleu
type: sacrebleu
value: 31.404
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ind-to-bbc-nmt-v8
This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the nusatranslation_mt dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1714
- Sacrebleu: 31.404
- Gen Len: 45.259
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 5.9718 | 1.0 | 207 | 3.5105 | 24.1454 | 44.5145 |
| 2.5392 | 2.0 | 414 | 1.6246 | 28.1486 | 45.45 |
| 1.46 | 3.0 | 621 | 1.3187 | 30.5425 | 45.375 |
| 1.2013 | 4.0 | 828 | 1.2437 | 31.2443 | 45.2075 |
| 1.0869 | 5.0 | 1035 | 1.2084 | 31.0749 | 45.3445 |
| 1.0083 | 6.0 | 1242 | 1.1851 | 31.167 | 45.35 |
| 0.9563 | 7.0 | 1449 | 1.1811 | 31.2377 | 45.344 |
| 0.9149 | 8.0 | 1656 | 1.1719 | 31.2539 | 45.343 |
| 0.8881 | 9.0 | 1863 | 1.1738 | 31.5399 | 45.145 |
| 0.872 | 10.0 | 2070 | 1.1714 | 31.404 | 45.259 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
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